Triple

T9112754
Position Surface form Disambiguated ID Type / Status
Subject Morten Tyldum E218641 entity
Predicate directed P7373 FINISHED
Object Buddy
Buddy is a Norwegian romantic comedy film best known for being one of director Morten Tyldum’s early breakout features.
E780759 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Buddy | Statement: [Morten Tyldum, directed, Buddy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buddy
Context triple: [Morten Tyldum, directed, Buddy]
  • A. Buddy
    Buddy is the young boy narrator and central figure in Truman Capote’s autobiographical short story “A Christmas Memory,” reflecting the author’s own childhood experiences.
  • B. Buddy
    Buddy is the cheerful, childlike main character of the Christmas comedy film "Elf," known for being a human raised at the North Pole by Santa’s elves.
  • C. Buddy
    Buddy is the nickname of Buddy Jeannette, a Hall of Fame American professional basketball player and coach known for his success in the early years of the sport.
  • D. Buddy
    Buddy is a laid-back dachshund from the animated film "The Secret Life of Pets," known for his witty, easygoing personality and loyal friendship with the other pets.
  • E. Buddy
    Buddy is the young boy protagonist whose perspective shapes the semi-autobiographical coming-of-age story set during the Troubles in the film "Belfast."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Buddy
Triple: [Morten Tyldum, directed, Buddy]
Generated description
Buddy is a Norwegian romantic comedy film best known for being one of director Morten Tyldum’s early breakout features.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Buddy
Target entity description: Buddy is a Norwegian romantic comedy film best known for being one of director Morten Tyldum’s early breakout features.
  • A. Buddy
    Buddy is the cheerful, childlike main character of the Christmas comedy film "Elf," known for being a human raised at the North Pole by Santa’s elves.
  • B. Buddy
    Buddy is the young boy protagonist whose perspective shapes the semi-autobiographical coming-of-age story set during the Troubles in the film "Belfast."
  • C. Buddy
    Buddy is a laid-back dachshund from the animated film "The Secret Life of Pets," known for his witty, easygoing personality and loyal friendship with the other pets.
  • D. Buddy
    Buddy is the nickname of Buddy DeSylva, an influential early 20th-century American songwriter, record executive, and film producer.
  • E. Buddy
    Buddy is the nickname of Buddy Jeannette, a Hall of Fame American professional basketball player and coach known for his success in the early years of the sport.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca84b0a048190964f560f78e27cce completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d047afbc388190905b13582cd59b05 completed April 3, 2026, 11:05 p.m.
NEDg Description generation batch_69d048dbcfe08190afb6ee816e22ddfc completed April 3, 2026, 11:10 p.m.
NED2 Entity disambiguation (via description) batch_69d049b159d08190ad426bb7f9bcafb1 completed April 3, 2026, 11:13 p.m.
Created at: March 30, 2026, 7:16 p.m.